Yams — Feed by country
A food balance sheet presents a comprehensive picture of the pattern of a country's food supply during a specified reference period. The food balance sheet shows for each food item - i.e. each primary commodity and a number of processed commodities potentially available for human consumption - the sources of supply...
What the numbers show
Yams — Feed is currently reported for 69 countries. The highest value is 6,199 1000 t in Nigeria; the lowest is 0 1000 t in Norway.
The median across all reporting countries is 0 1000 t, and the mean is 101.41 1000 t.
Over the past decade 9 countries rose and 11 fell. The largest increase was in Melanesia (up 1,366.7%), and the largest decrease in Cuba (down 100.0%).
Yams — Feed: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Nigeria | 6,199 1000 t | 2023 | up 74.0% | rising |
| 2 | Ghana | 564 1000 t | 2023 | up 52.4% | rising |
| 3 | Brazil | 85 1000 t | 2023 | down 1.2% | falling |
| 4 | Melanesia | 44 1000 t | 2023 | up 1,366.7% | volatile |
| 5 | Guinea | 41 1000 t | 2023 | up 355.6% | volatile |
| 6 | Caribbean | 16 1000 t | 2023 | down 81.8% | volatile |
| 7 | Gabon | 8 1000 t | 2023 | down 27.3% | flat |
| 8 | Cameroon | 7 1000 t | 2023 | up 600.0% | volatile |
| 9 | Senegal | 5 1000 t | 2023 | — | volatile |
| 9 | Dominican Republic | 5 1000 t | 2023 | up 25.0% | rising |
| 9 | Canada | 5 1000 t | 2023 | up 25.0% | rising |
| 12 | Haiti | 4 1000 t | 2023 | down 94.0% | volatile |
| 13 | Polynesia | 3 1000 t | 2023 | up 50.0% | volatile |
| 14 | Burkina Faso | 2 1000 t | 2023 | — | volatile |
| 14 | Samoa | 2 1000 t | 2023 | unchanged | rising |
| 14 | Democratic Republic of the Congo | 2 1000 t | 2023 | up 100.0% | rising |
| 17 | United Arab Emirates | 1 1000 t | 2023 | unchanged | volatile |
| 17 | Costa Rica | 1 1000 t | 2023 | unchanged | volatile |
| 17 | Tonga | 1 1000 t | 2023 | — | flat |
| 17 | Philippines | 1 1000 t | 2023 | unchanged | volatile |
| 17 | Papua New Guinea | 1 1000 t | 2023 | unchanged | flat |
| 22 | Switzerland | 0 1000 t | 2023 | — | flat |
| 22 | Netherlands (Kingdom of the) | 0 1000 t | 2023 | — | flat |
| 22 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | — | flat |
| 22 | China | 0 1000 t | 2023 | — | flat |
| 22 | Austria | 0 1000 t | 2023 | — | flat |
| 22 | Spain | 0 1000 t | 2020 | — | flat |
| 22 | Belize | 0 1000 t | 2023 | — | flat |
| 22 | Angola | 0 1000 t | 2023 | — | flat |
| 22 | China, Hong Kong SAR | 0 1000 t | 2023 | — | flat |
| 22 | Republic of Korea | 0 1000 t | 2023 | — | flat |
| 22 | Russian Federation | 0 1000 t | 2023 | — | flat |
| 22 | Australia and New Zealand | 0 1000 t | 2023 | — | flat |
| 22 | Côte d'Ivoire | 0 1000 t | 2023 | — | flat |
| 22 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | flat |
| 22 | Belgium | 0 1000 t | 2023 | — | flat |
| 22 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 22 | New Caledonia | 0 1000 t | 2023 | — | volatile |
| 22 | Namibia | 0 1000 t | 2023 | — | flat |
| 22 | Malawi | 0 1000 t | 2022 | — | flat |
| 22 | Malta | 0 1000 t | 2023 | — | flat |
| 22 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 22 | Lesotho | 0 1000 t | 2023 | — | flat |
| 22 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 22 | Cambodia | 0 1000 t | 2023 | — | flat |
| 22 | Cuba | 0 1000 t | 2019 | down 100.0% | volatile |
| 22 | Kenya | 0 1000 t | 2022 | down 100.0% | volatile |
| 22 | Jamaica | 0 1000 t | 2021 | down 100.0% | volatile |
| 22 | Indonesia | 0 1000 t | 2021 | — | flat |
| 22 | Cyprus | 0 1000 t | 2023 | — | flat |
| 22 | Czechia | 0 1000 t | 2023 | — | flat |
| 22 | France | 0 1000 t | 2023 | — | flat |
| 22 | Finland | 0 1000 t | 2023 | — | flat |
| 22 | Ethiopia | 0 1000 t | 2023 | — | volatile |
| 22 | Saudi Arabia | 0 1000 t | 2023 | — | volatile |
| 22 | Colombia | 0 1000 t | 2023 | — | flat |
| 22 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | down 100.0% | volatile |
| 22 | Thailand | 0 1000 t | 2023 | — | flat |
| 22 | Sweden | 0 1000 t | 2023 | — | flat |
| 22 | Slovenia | 0 1000 t | 2023 | — | flat |
| 22 | Sao Tome and Principe | 0 1000 t | 2023 | down 100.0% | volatile |
| 22 | Solomon Islands | 0 1000 t | 2023 | down 100.0% | volatile |
| 22 | Rwanda | 0 1000 t | 2023 | down 100.0% | volatile |
| 22 | Qatar | 0 1000 t | 2023 | — | flat |
| 22 | Portugal | 0 1000 t | 2018 | — | flat |
| 22 | Poland | 0 1000 t | 2023 | — | flat |
| 22 | Oman | 0 1000 t | 2023 | — | flat |
| 22 | New Zealand | 0 1000 t | 2023 | — | flat |
| 22 | Norway | 0 1000 t | 2023 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 7,679 1000 t
- Africa 7,519 1000 t
- Western Africa 7,407 1000 t
- Net Food Importing Developing Countries (NFIDCs) 765 1000 t
- Low Income Food Deficit Countries (LIFDCs) 748 1000 t
- Least Developed Countries (LDCs) 742 1000 t
- Americas 107 1000 t
- Middle Africa 107 1000 t
- Land Locked Developing Countries (LLDCs) 94 1000 t
- South America 85 1000 t
- Small Island Developing States (SIDS) 64 1000 t
- Oceania 47 1000 t
About this data
A food balance sheet presents a comprehensive picture of the pattern of a country's food supply during a specified reference period. The food balance sheet shows for each food item - i.e. each primary commodity and a number of processed commodities potentially available for human consumption - the sources of supply and its utilization. The total quantity of foodstuffs produced in a country added to the total quantity imported and adjusted to any change in stocks that may have occurred since the beginning of the reference period gives the supply available during that period. On the utilization side a distinction is made between the quantities exported, fed to livestock, used for seed, put to manufacture for food use and non-food uses, losses during storage and transportation, and food supplies available for human consumption. The per caput supply of each such food item available for human consumption is then obtained by dividing the respective quantity by the related data on the population actually partaking of it. Data on per capita food supplies are expressed in terms of quantity and - by applying appropriate food composition factors for all primary and processed products - also in terms of caloric value and protein and fat content.